Senior System Software Engineer

Posted 8 Days Ago
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Santa Clara, CA
In-Office
184K-357K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead engineering efforts across software, DevOps, and infrastructure. Solve complex problems, integrate systems, and provide tooling for operational reliability.
Summary Generated by Built In

We’re looking for a systems-minded technical leader to orchestrate engineering efforts across platform, product, and operations. This role sits at the intersection of software engineering, DevOps, and technical program leadership—with an emphasis on engineering. You’ll work on a product integration team that pulls together infrastructure and software from a range of teams, making it function cohesively before handing off "recipes" to product teams to polish and ship. You’ll step into ambiguous problems, bring clarity and structure, and help ensure that what we build works reliably at scale. You won’t just patch broken pipelines or write glue code (though you might do both). You’ll guide architectural decisions, unblock deeply technical issues, and serve as a force multiplier across the organization.

What you’ll be doing:

  • Lead technical problem-solving across backend, DevOps, and infrastructure systems—especially in under-defined situations

  • Integrate components from multiple teams into cohesive, functioning systems

  • Build pragmatic tooling and processes to support deployment, monitoring, and operational reliability

  • Collaborate with engineers and cross-functional partners to ensure our integrated systems are supportable, debuggable, and production-ready

  • Document and present complex systems and tradeoffs clearly to both technical and non-technical audiences

  • Mentor and support teammates in developing scalable thinking and strong engineering instincts!

What we need to see:

  • 6+ years of proven experience using in accelerated computing for datacenter/HPC solutions.

  • C/C++/Python/Bash programming/scripting experience.

  • Deep experience in backend or infrastructure engineering, especially with complex, multi-team systems

  • Strong debugging instincts and a methodical approach to untangling ambiguous problems

  • A background in DevOps or deployment tooling—ideally with an eye for reproducibility and automation

  • Excellent written communication skills—whether it’s docs, diagrams, or decks

  • The ability to lead by doing, not just directing—especially when integrating systems no one team fully owns

  • BS (or equivalent experience) in Engineering, Mathematics, Physics, or Computer Science. MS or PhD desirable.

Ways to stand out from the crowd:

  • Deep Learning framework skills is a plus!

  • Exposure to virtualization techniques, cloud platform solutions.

  • Exposure to container technology and Linux performance tools.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ We have some of the most forward-thinking and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with real passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 19, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Top Skills

C,C++,Python,Bash
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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